Juergen Schmidhuber
Artificial Intelligence
A probability distribution that gives the probability of multiple random variables occurring together.
Detailed Explanation
A joint probability distribution describes the likelihood of different combinations of multiple random variables happening simultaneously. It provides a comprehensive view of the relationships and dependencies between variables, enabling the calculation of probabilities for specific events involving more than one variable. This concept is fundamental in AI for modeling complex systems and uncertain scenarios where multiple factors interact.
Use Cases
- •Predicting customer behavior by modeling purchase and browsing patterns simultaneously to identify high-value segments.
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